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    76
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    SIGKDD
    2000
    75views more  SIGKDD 2000»
    Mining Patterns in Long Sequential Data with Noise
    15 years 18 days ago
    Mining Patterns in Long Sequential Data with Noise
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    Wei Wang 0010, Jiong Yang, Philip S. Yu
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    SIGKDD
    2000
    109views more  SIGKDD 2000»
    Report on WebDB'2000: 3rd International Workshop on the Web and Databases
    15 years 18 days ago
    Report on WebDB'2000: 3rd International Workshop on the Web and Databases
    Download  www.sigkdd.org
    Dan Suciu, Gottfried Vossen
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    99
    Voted
    SIGKDD
    2000
    95views more  SIGKDD 2000»
    Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data
    15 years 18 days ago
    Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data
    Download  www.sigkdd.org
    Jaideep Srivastava, Robert Cooley, Mukund Deshpand...
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    SIGKDD
    2000
    92views more  SIGKDD 2000»
    WEBKDD 2000 - Web Mining for E-Commerce
    15 years 18 days ago
    WEBKDD 2000 - Web Mining for E-Commerce
    Download  www.site.uottawa.ca
    In this paper, we provide a summary of the WEBKDD 2000 workshop, whose theme was `Web Mining for E-Commerce'. This workshop was held in conjunction with the ACM SIGKDD Intern...
    Myra Spiliopoulou, Jaideep Srivastava, Ron Kohavi,...
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    SIGKDD
    2000
    112views more  SIGKDD 2000»
    Profiling your Customers using Bayesian Networks
    15 years 18 days ago
    Profiling your Customers using Bayesian Networks
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    Paola Sebastiani, Marco Ramoni, Alexander Crea
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    74
    Voted
    SIGKDD
    2000
    130views more  SIGKDD 2000»
    KDD-Cup 99: Knowledge Discovery In a Charitable Organization's Donor Database
    15 years 18 days ago
    KDD-Cup 99: Knowledge Discovery In a Charitable Organization's Donor Database
    Download  www.tau.ac.il
    Saharon Rosset, Aron Inger
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    89
    Voted
    SIGKDD
    2000
    89views more  SIGKDD 2000»
    Measuring Lift Quality in Database Marketing
    15 years 18 days ago
    Measuring Lift Quality in Database Marketing
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    Gregory Piatetsky-Shapiro, Sam Steingold
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    74
    Voted
    SIGKDD
    2000
    89views more  SIGKDD 2000»
    Winning the KDD99 Classification Cup: Bagged Boosting
    15 years 18 days ago
    Winning the KDD99 Classification Cup: Bagged Boosting
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    Bernhard Pfahringer
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    SIGKDD
    2000
    96views more  SIGKDD 2000»
    The MP13 Approach to the KDD'99 Classifier Learning Contest
    15 years 18 days ago
    The MP13 Approach to the KDD'99 Classifier Learning Contest
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    The MP13 method is best summarized as recognition based on voting decision trees using "pipes" in potential space. Keywords Voting; Decision Tree; Potential Space
    Vladimir Miheev, Alexei Vopilov, Ivan Shabalin
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    SIGKDD
    2000
    96views more  SIGKDD 2000»
    Phenomenal Data Mining: From Data to Phenomena
    15 years 18 days ago
    Phenomenal Data Mining: From Data to Phenomena
    Download  www-formal.stanford.edu
    Phenomenal data mining finds relations between the data and the phenomena that give rise to data rather than just relations among the data. For example, suppose supermarket cash r...
    John McCarthy
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